About me

Hello there! I am a PhD candidate at UChicago Statistics, where I have the privilege of working with Prof. Victor Veitch. My research focuses on alignment and interpretability of large generative models, exploring ways to make AI systems more transparent and reliable.

During my PhD, I interned at ByteDance LLM Security team improving model robustness against prompt injection attacks. I was a student researcher at Google DeepMind with Prof. Sanmi Koyejo working on improving the RLHF pipeline. Before starting my PhD, I completed my undergraduate studies in Computational and Applied Mathematics at UChicago.